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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
A fundamental link between two counterintuitive phenomena in spin glasses—reentrance and temperature chaos—has been ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make ...
The Cetacean Translation Initiative (CETI) is using artificial intelligence to help understand sperm whale communications.
Liu, R. and DeLuca, D. (2025) How Does the Healthcare Community Perceive Artificial Intelligence? —A Systematic Review.
Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...
For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
A new preliminary study published in Nature suggests that COVID-19 vaccines might actually boost the immune system to make ...
The core M5 chip says a lot about what the M5 Pro and M5 Max will deliver in new MacBook Pro models in 2026. Here's what to ...
For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...
The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.
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